{"as_of":"2026-08-23T09:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a965eca55436ba924ea3315917cb8ba8ad7ae54aa3b5b56190c226c76121e1ce","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:59:19.558094Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-14T19:17:49.858454Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.01604","last_updated":"2025-01-17T08:33:10Z","snapshot_observed_at":"2026-08-16T14:04:27.380597Z","submitted_at":"2024-04-02T02:52:05Z","title":"WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.01604","snapshot_observed_at":"2026-08-15T23:59:19.558094Z","title":"Hwang, D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.03314","last_updated":"2025-05-06T08:44:52Z","snapshot_observed_at":"2026-08-17T23:03:51.476611Z","submitted_at":"2025-05-06T08:44:52Z","title":"Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T23:59:19.558094Z"},"links":{"cited_paper":"/paper/2404.01604","citing_paper":"/paper/2505.03314"},"observation_digest":"sha256:aca0be15d76fa737fc8fa576b02cbd3903f1a4961f965b0a4775707fc1a9d3f8","observation_id":"022af1e0-36c5-4ed6-8210-9c796c1cd326","resolution":{"observed_at":"2026-08-15T23:59:19.558094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.01604","last_updated":"2025-01-17T08:33:10Z","snapshot_observed_at":"2026-08-16T14:04:27.380597Z","submitted_at":"2024-04-02T02:52:05Z","title":"WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing","version":3},"cited_work":{"arxiv_id":"2404.01604","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.01604","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wavedh: Wavelet sub-bands guided convnet for efficient image dehazing","venue":null,"work_id":"dd5ad40c-4ac1-42c4-a48c-62001283fbcc","year":2024},"citing_paper":{"arxiv_id":"2605.13621","last_updated":"2026-05-13T14:51:05Z","snapshot_observed_at":"2026-08-15T04:22:56.881217Z","submitted_at":"2026-05-13T14:51:05Z","title":"WD-FQDet: Multispectral Detection Transformer via Wavelet Decomposition and Frequency-aware Query Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-14T19:17:13.735730Z"},"links":{"cited_paper":"/paper/2404.01604","citing_paper":"/paper/2605.13621"},"observation_digest":"sha256:603046929937c3cad26a51998eaf2d20e438d053a006b5d8617ff9d43981de26","observation_id":"4c58778c-285b-4d40-b316-ce756ba18181","resolution":{"observed_at":"2026-05-14T19:17:49.862406Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.01604/citation-record","integrity":"/paper/2404.01604/integrity","json":"/paper/2404.01604/citation-record.json","paper":"/paper/2404.01604"},"outbound":[],"paper":{"arxiv_id":"2404.01604","last_updated":"2025-01-17T08:33:10Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T14:04:27.380597Z","submitted_at":"2024-04-02T02:52:05Z","title":"WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.01604."}